Materials Map

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (1/1 displayed)

  • 2022Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots2citations

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Chart of shared publication
Siegwart, Roland
1 / 1 shared
Tognon, Marco
1 / 1 shared
Shi, Liping
1 / 2 shared
Andersson, Olav
1 / 1 shared
Pantic, Michael
1 / 1 shared
Chart of publication period
2022

Co-Authors (by relevance)

  • Siegwart, Roland
  • Tognon, Marco
  • Shi, Liping
  • Andersson, Olav
  • Pantic, Michael
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document

Reactive Motion Planning for Rope Manipulation and Collision Avoidance using Aerial Robots

  • Siegwart, Roland
  • Jacobsen, Rune Hylsberg
  • Tognon, Marco
  • Shi, Liping
  • Andersson, Olav
  • Pantic, Michael
Abstract

In this work we address the challenging problem of manipulating a flexible link, like a rope, with an aerial robot. Inspired by spraying tasks in construction and maintenance scenarios, we consider the case in which an autonomous end-effector (e.g., a spray nozzle moved by a robot or a human operator) is connected to a fixed point by a rope (e.g., a hose). To avoid collisions between the rope and the environment while the end-effector moves, we propose the use of an aerial robot as a flying companion to properly manipulate the rope away from collisions. The aerial robot is attached to the rope between the end-effector and the fixed point. Assuming no direct control of the end-effector (e.g., when operated by a human), we design a reactive and fast motion planner for the aerial robot. Grounding on the theory of Forced Geometric Fabrics, we design a motion planner that generates trajectories to drive the aerial robot to follow the end-effector, while manipulating the rope to avoid collisions in cluttered environments. To include the complex behavior of the flexible link, we propose a rope model that estimates its real-time state under forces and position-based interactions, as well as collisions with obstacle surfaces. Finally, we evaluate the system behavior and the motion planner performance in simulations, as well as in real-world experiments on an original spray painting application.

Topics
  • impedance spectroscopy
  • surface
  • theory
  • experiment
  • simulation
  • reactive